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  • DENY select on sys.dm_db_index_physical_stats

    - by steveh99999
    Technorati Tags: security,DMV,permission,sys.dm_db_index_physical_stats I recently saw an interesting blog article by Paul Randal about the performance overhead of querying the sys.dm_db_index_physical_stats. So I was thinking, would it be possible to let non-sysadmin users query DMVs on a SQL server but stop them querying this I/O intensive DMV ? Yes it is, here’s how… 1. Create a new login for test purposes, with permissions to access AdventureWorks database only … CREATE LOGIN [test] WITH PASSWORD='xxxx', DEFAULT_DATABASE=[AdventureWorks] GO USE [AdventureWorks] GO CREATE USER [test] FOR LOGIN [test] WITH DEFAULT_SCHEMA=[dbo] GO 2.login as user test and issue command SELECT  * FROM sys.dm_db_index_physical_stats(DB_ID('AdventureWorks'),NULL,NULL,NULL,'DETAILED') gets error :-  Msg 297, Level 16, State 12, Line 1 The user does not have permission to perform this action. 3.As a sysadmin, issue command :- USE AdventureWorks GRANT VIEW DATABASE STATE TO [test] or GRANT VIEW SERVER STATE TO [test] if all databases can be queried via DMV. 4. Try again as user test to issue command SELECT * FROM sys.dm_db_index_physical_stats(DB_ID('AdventureWorks '),NULL,NULL,NULL,'DETAILED') -- now produces valid results from the DMV.. 5 now create the test user in master database, public role only USE master CREATE USER [test] FOR LOGIN [test] 6 issue command :- USE master DENY SELECT ON sys.dm_db_index_physical_stats TO [test] 7 Now go back to AdventureWorks using test login and try SELECT * FROM sys.dm_db_index_physical_stats(DB_ID('AdventureWorks’),NULL,NULL,NULL,’DETAILED') Now gets error... Msg 229, Level 14, State 5, Line 1 The SELECT permission was denied on the object 'dm_db_index_physical_stats', database 'mssqlsystemresource', schema 'sys'. but the user is still able to query all other non-IO-intensive DMVs. If the user attempts to view the index physical stats via a builtin management studio report  – see recent blog post by Pinal Dave they get an error also

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  • Interesting SSMS issue with waittype of PREEMPTIVE_OS_LOOKUPACCOUNTSID

    - by steveh99999
    Saw a recent issue with SQL2008 sp 1 where SQL Server Management Studio (SSMS) appeared to hang when a DBA expanded the database users tab of a database… ie like this :-   When we looked at the waittype of the SSMS session - via sys.dm_os_waiting_tasks– it was waiting on PREEMPTIVE_OS_LOOKUPACCOUNTSID. I’d not come across this waittype before, and there was very little information out on the web for it.. Looking at this issue using SQL Profiler – it them became apparent that SSMS was waiting on the function SUSER_SNAME. I did a quick test using SET STATISTICS TIME to prove it was the SUSER_SNAME function causing our issue :- SELECT * FROM sys.database_principals   -- completes in 6 milliseconds SELECT SUSER_SNAME(sid),* FROM sys.database_principals  -- completes in 188941 milliseconds. suser_sname validates a sid against Active Directory.. What I haven’t mentioned so far is that the database in question had been restored from a server on a different domain. This domain was untrusted from the current domain. However, it appeared that SSMS was still trying to validate the Windows login of each user when displaying the users list…. and taking a long time to return NULL for each user from the untrusted domain. When all users that had a login from the untrusted domain are removed from the database – this fixed the issue. To find out the users that had this issue :- SELECT name FROM sys.database_principals WHERE type_desc IN(‘WINDOWS_USER’, ‘WINDOWS_GROUP’) and SUSER_SNAME(sid) IS NULL Although I have not raised this as a case with MS – I do think this is a bug in SSMS – I do not see why windows logins should need to be validated when displaying only user details..

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  • SPARC T4-2 Produces World Record Oracle Essbase Aggregate Storage Benchmark Result

    - by Brian
    Significance of Results Oracle's SPARC T4-2 server configured with a Sun Storage F5100 Flash Array and running Oracle Solaris 10 with Oracle Database 11g has achieved exceptional performance for the Oracle Essbase Aggregate Storage Option benchmark. The benchmark has upwards of 1 billion records, 15 dimensions and millions of members. Oracle Essbase is a multi-dimensional online analytical processing (OLAP) server and is well-suited to work well with SPARC T4 servers. The SPARC T4-2 server (2 cpus) running Oracle Essbase 11.1.2.2.100 outperformed the previous published results on Oracle's SPARC Enterprise M5000 server (4 cpus) with Oracle Essbase 11.1.1.3 on Oracle Solaris 10 by 80%, 32% and 2x performance improvement on Data Loading, Default Aggregation and Usage Based Aggregation, respectively. The SPARC T4-2 server with Sun Storage F5100 Flash Array and Oracle Essbase running on Oracle Solaris 10 achieves sub-second query response times for 20,000 users in a 15 dimension database. The SPARC T4-2 server configured with Oracle Essbase was able to aggregate and store values in the database for a 15 dimension cube in 398 minutes with 16 threads and in 484 minutes with 8 threads. The Sun Storage F5100 Flash Array provides more than a 20% improvement out-of-the-box compared to a mid-size fiber channel disk array for default aggregation and user-based aggregation. The Sun Storage F5100 Flash Array with Oracle Essbase provides the best combination for large Oracle Essbase databases leveraging Oracle Solaris ZFS and taking advantage of high bandwidth for faster load and aggregation. Oracle Fusion Middleware provides a family of complete, integrated, hot pluggable and best-of-breed products known for enabling enterprise customers to create and run agile and intelligent business applications. Oracle Essbase's performance demonstrates why so many customers rely on Oracle Fusion Middleware as their foundation for innovation. Performance Landscape System Data Size(millions of items) Database Load(minutes) Default Aggregation(minutes) Usage Based Aggregation(minutes) SPARC T4-2, 2 x SPARC T4 2.85 GHz 1000 149 398* 55 Sun M5000, 4 x SPARC64 VII 2.53 GHz 1000 269 526 115 Sun M5000, 4 x SPARC64 VII 2.4 GHz 400 120 448 18 * – 398 mins with CALCPARALLEL set to 16; 484 mins with CALCPARALLEL threads set to 8 Configuration Summary Hardware Configuration: 1 x SPARC T4-2 2 x 2.85 GHz SPARC T4 processors 128 GB memory 2 x 300 GB 10000 RPM SAS internal disks Storage Configuration: 1 x Sun Storage F5100 Flash Array 40 x 24 GB flash modules SAS HBA with 2 SAS channels Data Storage Scheme Striped - RAID 0 Oracle Solaris ZFS Software Configuration: Oracle Solaris 10 8/11 Installer V 11.1.2.2.100 Oracle Essbase Client v 11.1.2.2.100 Oracle Essbase v 11.1.2.2.100 Oracle Essbase Administration services 64-bit Oracle Database 11g Release 2 (11.2.0.3) HP's Mercury Interactive QuickTest Professional 9.5.0 Benchmark Description The objective of the Oracle Essbase Aggregate Storage Option benchmark is to showcase the ability of Oracle Essbase to scale in terms of user population and data volume for large enterprise deployments. Typical administrative and end-user operations for OLAP applications were simulated to produce benchmark results. The benchmark test results include: Database Load: Time elapsed to build a database including outline and data load. Default Aggregation: Time elapsed to build aggregation. User Based Aggregation: Time elapsed of the aggregate views proposed as a result of tracked retrieval queries. Summary of the data used for this benchmark: 40 flat files, each of size 1.2 GB, 49.4 GB in total 10 million rows per file, 1 billion rows total 28 columns of data per row Database outline has 15 dimensions (five of them are attribute dimensions) Customer dimension has 13.3 million members 3 rule files Key Points and Best Practices The Sun Storage F5100 Flash Array has been used to accelerate the application performance. Setting data load threads (DLTHREADSPREPARE) to 64 and Load Buffer to 6 improved dataloading by about 9%. Factors influencing aggregation materialization performance are "Aggregate Storage Cache" and "Number of Threads" (CALCPARALLEL) for parallel view materialization. The optimal values for this workload on the SPARC T4-2 server were: Aggregate Storage Cache: 32 GB CALCPARALLEL: 16   See Also Oracle Essbase Aggregate Storage Option Benchmark on Oracle's SPARC T4-2 Server oracle.com Oracle Essbase oracle.com OTN SPARC T4-2 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 28 August 2012.

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  • Evaluating Oracle Data Mining Has Never Been Easier - Evaluation "Kit" Available

    - by chberger
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Now you can quickly and easily get set up to starting using Oracle Data Mining for evaluation purposes. Just go to the Oracle Technology Network (OTN) and follow these simple steps. Oracle Data Mining Evaluation "Kit" Instructions Step 1: Download and Install the Oracle Database 11g Release 2 Anyone can download and install the Oracle Database for free for evaluation purposes. Read OTN web site for details. 11.2.0.1.0 DB is the minimum, 11.2.0.2 is better and naturally 11.2.0.3 is best if you are a current customer and on active support. Either 32-bit or 64-bit is fine. 4GB of RAM or more works fine for SQL Developer and the Oracle Data Miner GUI extension. Downloading the database and installing it should take just about an hour or so, depending on your network and computer. For more instructions on setting up Oracle Data Mining see: http://www.oracle.com/technetwork/database/options/odm/dataminerworkflow-168677.html When you install the Oracle Database, the Sample Examples data should also be installed e.g.:Release 2 Examples win32_11gR2_examples.zip (565,154,740 bytes). Contains examples of how to use the Oracle Database. Download if you are new to Oracle and want to try some of the examples presented in the Documentation Step 2: Install SQL Developer 3.1 (the Oracle Data Mining Extension installs automatically) Step 3. Follow the four free step-by-step Oracle-by-Examples e-training lessons: Setting Up Oracle Data Miner 11g Release 2 This tutorial covers the process of setting up Oracle Data Miner 11g Release 2 for use within Oracle SQL Developer 3.0. Using Oracle Data Miner 11g Release 2 This tutorial covers the use of Oracle Data Miner to perform data mining against Oracle Database 11g Release 2. In this lesson, you examine and solve a data mining business problem by using the Oracle Data Miner graphical user interface (GUI). Star Schema Mining Using Oracle Data Miner This tutorial covers the use of Oracle Data Miner to perform star schema mining against Oracle Database 11g Release 2. Text Mining Using Oracle Data Miner This tutorial covers the use of Oracle Data Miner to perform text mining against Oracle Database 11g Release 2. That’s it! Easy, fun and the fastest way to get started evaluating Oracle Data Mining. Enjoy! Charlie

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  • PASS Summit 2011 &ndash; Part III

    - by Tara Kizer
    Well we’re about a month past PASS Summit 2011, and yet I haven’t finished blogging my notes! Between work and home life, I haven’t been able to come up for air in a bit.  Now on to my notes… On Thursday of the PASS Summit 2011, I attended Klaus Aschenbrenner’s (blog|twitter) “Advanced SQL Server 2008 Troubleshooting”, Joe Webb’s (blog|twitter) “SQL Server Locking & Blocking Made Simple”, Kalen Delaney’s (blog|twitter) “What Happened? Exploring the Plan Cache”, and Paul Randal’s (blog|twitter) “More DBA Mythbusters”.  I think my head grew two times in size from the Thursday sessions.  Just WOW! I took a ton of notes in Klaus' session.  He took a deep dive into how to troubleshoot performance problems.  Here is how he goes about solving a performance problem: Start by checking the wait stats DMV System health Memory issues I/O issues I normally start with blocking and then hit the wait stats.  Here’s the wait stat query (Paul Randal’s) that I use when working on a performance problem.  He highlighted a few waits to be aware of such as WRITELOG (indicates IO subsystem problem), SOS_SCHEDULER_YIELD (indicates CPU problem), and PAGEIOLATCH_XX (indicates an IO subsystem problem or a buffer pool problem).  Regarding memory issues, Klaus recommended that as a bare minimum, one should set the “max server memory (MB)” in sp_configure to 2GB or 10% reserved for the OS (whichever comes first).  This is just a starting point though! Regarding I/O issues, Klaus talked about disk partition alignment, which can improve SQL I/O performance by up to 100%.  You should use 64kb for NTFS cluster, and it’s automatic in Windows 2008 R2. Joe’s locking and blocking presentation was a good session to really clear up the fog in my mind about locking.  One takeaway that I had no idea could be done was that you can set a timeout in T-SQL code view LOCK_TIMEOUT.  If you do this via the application, you should trap error 1222. Kalen’s session went into execution plans.  The minimum size of a plan is 24k.  This adds up fast especially if you have a lot of plans that don’t get reused much.  You can use sys.dm_exec_cached_plans to check how often a plan is being reused by checking the usecounts column.  She said that we can use DBCC FLUSHPROCINDB to clear out the stored procedure cache for a specific database.  I didn’t know we had this available, so this was great to hear.  This will be less intrusive when an emergency comes up where I’ve needed to run DBCC FREEPROCCACHE. Kalen said one should enable “optimize for ad hoc workloads” if you have an adhoc loc.  This stores only a 300-byte stub of the first plan, and if it gets run again, it’ll store the whole thing.  This helps with plan cache bloat.  I have a lot of systems that use prepared statements, and Kalen says we simulate those calls by using sp_executesql.  Cool! Paul did a series of posts last year to debunk various myths and misconceptions around SQL Server.  He continues to debunk things via “DBA Mythbusters”.  You can get a PDF of a bunch of these here.  One of the myths he went over is the number of tempdb data files that you should have.  Back in 2000, the recommendation was to have as many tempdb data files as there are CPU cores on your server.  This no longer holds true due to the numerous cores we have on our servers.  Paul says you should start out with 1/4 to 1/2 the number of cores and work your way up from there.  BUT!  Paul likes what Bob Ward (twitter) says on this topic: 8 or less cores –> set number of files equal to the number of cores Greater than 8 cores –> start with 8 files and increase in blocks of 4 One common myth out there is to set your MAXDOP to 1 for an OLTP workload with high CXPACKET waits.  Instead of that, dig deeper first.  Look for missing indexes, out-of-date statistics, increase the “cost threshold for parallelism” setting, and perhaps set MAXDOP at the query level.  Paul stressed that you should not plan a backup strategy but instead plan a restore strategy.  What are your recoverability requirements?  Once you know that, now plan out your backups. As Paul always does, he talked about DBCC CHECKDB.  He said how fabulous it is.  I didn’t want to interrupt the presentation, so after his session had ended, I asked Paul about the need to run DBCC CHECKDB on your mirror systems.  You could have data corruption occur at the mirror and not at the principal server.  If you aren’t checking for data corruption on your mirror systems, you could be failing over to a corrupt database in the case of a disaster or even a planned failover.  You can’t run DBCC CHECKDB against the mirrored database, but you can run it against a snapshot off the mirrored database.

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  • How Do You Actually Model Data?

    Since the 1970’s Developers, Analysts and DBAs have been able to represent concepts and relations in the form of data through the use of generic symbols.  But what is data modeling?  The first time I actually heard this term I could not understand why anyone would want to display a computer on a fashion show runway. Hey, what do you expect? At that time I was a freshman in community college, and obviously this was a long time ago.  I have since had the chance to learn what data modeling truly is through using it. Data modeling is a process of breaking down information and/or requirements in to common categories called objects. Once objects start being defined then relationships start to form based on dependencies found amongst other existing objects.  Currently, there are several tools on the market that help data designer actually map out objects and their relationships through the use of symbols and lines.  These diagrams allow for designs to be review from several perspectives so that designers can ensure that they have the optimal data design for their project and that the design is flexible enough to allow for potential changes and/or extension in the future. Additionally these basic models can always be further refined to show different levels of details depending on the target audience through the use of three different types of models. Conceptual Data Model(CDM)Conceptual Data Models include all key entities and relationships giving a viewer a high level understanding of attributes. Conceptual data model are created by gathering and analyzing information from various sources pertaining to a project during the typical planning phase of a project. Logical Data Model (LDM)Logical Data Models are conceptual data models that have been expanded to include implementation details pertaining to the data that it will store. Additionally, this model typically represents an origination’s business requirements and business rules by defining various attribute data types and relationships regarding each entity. This additional information can be directly translated to the Physical Data Model which reduces the actual time need to implement it. Physical Data Model(PDMs)Physical Data Model are transformed Logical Data Models that include the necessary tables, columns, relationships, database properties for the creation of a database. This model also allows for considerations regarding performance, indexing and denormalization that are applied through database rules, data integrity. Further expanding on why we actually use models in modern application/database development can be seen in the benefits that data modeling provides for data modelers and projects themselves, Benefits of Data Modeling according to Applied Information Science Abstraction that allows data designers remove concepts and ideas form hard facts in the form of data. This gives the data designers the ability to express general concepts and/or ideas in a generic form through the use of symbols to represent data items and the relationships between the items. Transparency through the use of data models allows complex ideas to be translated in to simple symbols so that the concept can be understood by all viewpoints and limits the amount of confusion and misunderstanding. Effectiveness in regards to tuning a model for acceptable performance while maintaining affordable operational costs. In addition it allows systems to be built on a solid foundation in terms of data. I shudder at the thought of a world without data modeling, think about it? Data is everywhere in our lives. Data modeling allows for optimizing a design for performance and the reduction of duplication. If one was to design a database without data modeling then I would think that the first things to get impacted would be database performance due to poorly designed database and there would be greater chances of unnecessary data duplication that would also play in to the excessive query times because unneeded records would need to be processed. You could say that a data designer designing a database is like a box of chocolates. You will never know what kind of database you will get until after it is built.

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  • October 2013 Oracle University Round-Up: New Training & Certifications

    - by Breanne Cooley
    Here are the highlights of what is happening this month at Oracle University.  New Technology Overview Courses: Cloud, Big Data and Security Learn about the latest technology solutions that can transform your business. These three Training On Demand courses are taught by industry experts. These courses help you develop an understanding of how Oracle technologies can make a positive impact on your organization.  Oracle Cloud Overview  Oracle Big Data Overview Oracle Security Overview  New Cloud Application Foundation Courses Check out our brand new 12c courses for WebLogic Server administrators and Coherence developers:  Oracle WebLogic Server 12c: Administration I Oracle WebLogic Server 12c: Administration II Oracle Coherence 12c: New Features  Oracle Database 12c Courses Our Oracle Database 12c training is becoming very popular. Here are this month's featured courses:  Oracle Database 12c: New Features for Administrators Oracle Database 12c: Administration Workshop  Oracle Database 12c: Install and Upgrade Workshop Oracle Database 12c: Admin, Install and Upgrade Accelerated  Validate your expertise and add value by earning an Oracle Database 12c Certification.  New Certifications for MySQL Watch our two new videos to find out what's new with Oracle MySQL Certifications. 1) Oracle MySQL 5.6 Certification: What's New for Database Administrators  Recommended training:  MySQL for Beginners MySQL for Database Administrators  2) Oracle MySQL 5.6 Certification: What's New for Developers Recommended training:  MySQL for Beginners MySQL for Developers New Training & Certification for Oracle Applications JD Edwards 9.1 Training Additional JD Edwards Enterprise One 9.1 training is now available for administrators, developers and implementation team members. Cross Application Training  JD Edwards Enterprise One Common Foundation Rel 9.x  Human Capital Management Training  JD Edwards EnterpriseOne Payroll for Canada Rel 9.x JD Edwards EnterpriseOne Payroll for US Rel 9.x JD Edwards EnterpriseOne Payroll Accelerated for Canada Rel 9.x JD Edwards EnterpriseOne Payroll Accelerated for US Rel 9.x  Financial  Management Training  JD Edwards EnterpriseOne Accounts Receivable Rel 9.x JD Edwards EnterpriseOne Financial Report Writing Rel 9.x  Knowledge Management 8.5 Training Oracle Knowledge 8.5 training is now available for analysts interested in learning how to quickly spot trends in content processing and system usage with analytics dashboards. Knowledge Analytics Rel 8.5  Taleo Training Updated Taleo training is now available. Taleo Business Edition (TEE) business users can learn how to create more efficient reports. Recruiters will learn how to efficiently and effectively use Taleo Business Edition (TBE) Recruit.  Taleo (TEE): Advanced Reporting Taleo (TBE): Recruit - End User Fundamentals  New Training for Oracle Retail 13.4.1 Updated training for Retail Predictive Application Server and Retail Demand Forecasting is now available.  RPAS Administration and Configuration Fundamentals RPAS Technical Essentials: Fusion Client 13.4.1 Retail Demand Forecasting (RDF) Business Essentials 13.4.1  View all available training courses, learning paths and certifications at education.oracle.com, or contact your local education representative to learn more about Oracle University's education solutions. See you in class!  -Oracle University Marketing Team 

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  • To SYNC or not to SYNC – Part 4

    - by AshishRay
    This is Part 4 of a multi-part blog article where we are discussing various aspects of setting up Data Guard synchronous redo transport (SYNC). In Part 1 of this article, I debunked the myth that Data Guard SYNC is similar to a two-phase commit operation. In Part 2, I discussed the various ways that network latency may or may not impact a Data Guard SYNC configuration. In Part 3, I talked in details regarding why Data Guard SYNC is a good thing, and the distance implications you have to keep in mind. In this final article of the series, I will talk about how you can nicely complement Data Guard SYNC with the ability to failover in seconds. Wait - Did I Say “Seconds”? Did I just say that some customers do Data Guard failover in seconds? Yes, Virginia, there is a Santa Claus. Data Guard has an automatic failover capability, aptly called Fast-Start Failover. Initially available with Oracle Database 10g Release 2 for Data Guard SYNC transport mode (and enhanced in Oracle Database 11g to support Data Guard ASYNC transport mode), this capability, managed by Data Guard Broker, lets your Data Guard configuration automatically failover to a designated standby database. Yes, this means no human intervention is required to do the failover. This process is controlled by a low footprint Data Guard Broker client called Observer, which makes sure that the primary database and the designated standby database are behaving like good kids. If something bad were to happen to the primary database, the Observer, after a configurable threshold period, tells that standby, “Your time has come, you are the chosen one!” The standby dutifully follows the Observer directives by assuming the role of the new primary database. The DBA or the Sys Admin doesn’t need to be involved. And - in case you are following this discussion very closely, and are wondering … “Hmmm … what if the old primary is not really dead, but just network isolated from the Observer or the standby - won’t this lead to a split-brain situation?” The answer is No - It Doesn’t. With respect to why-it-doesn’t, I am sure there are some smart DBAs in the audience who can explain the technical reasons. Otherwise - that will be the material for a future blog post. So - this combination of SYNC and Fast-Start Failover is the nirvana of lights-out, integrated HA and DR, as practiced by some of our advanced customers. They have observed failover times (with no data loss) ranging from single-digit seconds to tens of seconds. With this, they support operations in industry verticals such as manufacturing, retail, telecom, Internet, etc. that have the most demanding availability requirements. One of our leading customers with massive cloud deployment initiatives tells us that they know about server failures only after Data Guard has automatically completed the failover process and the app is back up and running! Needless to mention, Data Guard Broker has the integration hooks for interfaces such as JDBC and OCI, or even for custom apps, to ensure the application gets automatically rerouted to the new primary database after the database level failover completes. Net Net? To sum up this multi-part blog article, Data Guard with SYNC redo transport mode, plus Fast-Start Failover, gives you the ideal triple-combo - that is, it gives you the assurance that for critical outages, you can failover your Oracle databases: very fast without human intervention, and without losing any data. In short, it takes the element of risk out of critical IT operations. It does require you to be more careful with your network and systems planning, but as far as HA is concerned, the benefits outweigh the investment costs. So, this is what we in the MAA Development Team believe in. What do you think? How has your deployment experience been? We look forward to hearing from you!

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  • Documentation and Test Assertions in Databases

    - by Phil Factor
    When I first worked with Sybase/SQL Server, we thought our databases were impressively large but they were, by today’s standards, pathetically small. We had one script to build the whole database. Every script I ever read was richly annotated; it was more like reading a document. Every table had a comment block, and every line would be commented too. At the end of each routine (e.g. procedure) was a quick integration test, or series of test assertions, to check that nothing in the build was broken. We simply ran the build script, stored in the Version Control System, and it pulled everything together in a logical sequence that not only created the database objects but pulled in the static data. This worked fine at the scale we had. The advantage was that one could, by reading the source code, reach a rapid understanding of how the database worked and how one could interface with it. The problem was that it was a system that meant that only one developer at the time could work on the database. It was very easy for a developer to execute accidentally the entire build script rather than the selected section on which he or she was working, thereby cleansing the database of everyone else’s work-in-progress and data. It soon became the fashion to work at the object level, so that programmers could check out individual views, tables, functions, constraints and rules and work on them independently. It was then that I noticed the trend to generate the source for the VCS retrospectively from the development server. Tables were worst affected. You can, of course, add or delete a table’s columns and constraints retrospectively, which means that the existing source no longer represents the current object. If, after your development work, you generate the source from the live table, then you get no block or line comments, and the source script is sprinkled with silly square-brackets and other confetti, thereby rendering it visually indigestible. Routines, too, were affected. In our system, every routine had a directly attached string of unit-tests. A retro-generated routine has no unit-tests or test assertions. Yes, one can still commit our test code to the VCS but it’s a separate module and teams end up running the whole suite of tests for every individual change, rather than just the tests for that routine, which doesn’t scale for database testing. With Extended properties, one can get the best of both worlds, and even use them to put blame, praise or annotations into your VCS. It requires a lot of work, though, particularly the script to generate the table. The problem is that there are no conventional names beyond ‘MS_Description’ for the special use of extended properties. This makes it difficult to do splendid things such ensuring the integrity of the build by running a suite of tests that are actually stored in extended properties within the database and therefore the VCS. We have lost the readability of database source code over the years, and largely jettisoned the use of test assertions as part of the database build. This is not unexpected in view of the increasing complexity of the structure of databases and number of programmers working on them. There must, surely, be a way of getting them back, but I sometimes wonder if I’m one of very few who miss them.

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  • An open plea to Microsoft to fix the serializers in WCF.

    - by Scott Wojan
    I simply DO NOT understand how Microsoft can be this far along with a tool like WCF and it STILL tout it as being an "Enterprise" tool. For example... The following is a simple xsd schema with a VERY simple data contract that any enterprise would expect an "enterprise system" to be able to handle: <?xml version="1.0" encoding="utf-8"?> <xs:schema id="Sample"     targetNamespace="http://tempuri.org/Sample.xsd"     elementFormDefault="qualified"     xmlns="http://tempuri.org/Sample.xsd"     xmlns:mstns="http://tempuri.org/Sample.xsd"     xmlns:xs="http://www.w3.org/2001/XMLSchema">    <xs:element name="SomeDataElement">     <xs:annotation>       <xs:documentation>This documents the data element. This sure would be nice for consumers to see!</xs:documentation>     </xs:annotation>     <xs:complexType>       <xs:all>         <xs:element name="Description" minOccurs="0">           <xs:simpleType>             <xs:restriction base="xs:string">               <xs:minLength value="0"/>               <xs:maxLength value="255"/>             </xs:restriction>           </xs:simpleType>         </xs:element>       </xs:all>       <xs:attribute name="IPAddress" use="required">         <xs:annotation>           <xs:documentation>Another explanation!  WOW!</xs:documentation>         </xs:annotation>         <xs:simpleType>           <xs:restriction base="xs:string">             <xs:pattern value="(([1-9]?[0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\.){3}([1-9]?[0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])"/>           </xs:restriction>         </xs:simpleType>       </xs:attribute>     </xs:complexType>  </xs:element>   </xs:schema>  An minimal example xml document would be: <?xml version="1.0"encoding="utf-8" ?> <SomeDataElementxmlns="http://tempuri.org/Sample.xsd" IPAddress="1.1.168.10"> </SomeDataElement> With the max example being:  <?xml version="1.0"encoding="utf-8" ?> <SomeDataElementxmlns="http://tempuri.org/Sample.xsd" IPAddress="1.1.168.10">  <Description>ddd</Description> </SomeDataElement> This schema simply CANNOT be exposed by WCF.  Let's list why:  svcutil.exe will not generate classes for you because it can't read an xsd with xs:annotation. Even if you remove the documentation, the DataContractSerializer DOES NOT support attributes so IPAddress would become an element this not meeting the contract xsd.exe could generate classes but it is a very legacy tool, generates legacy code, and you still suffer from the following issues: NONE of the serializers support emitting of the xs:annotation documentation.  You'd think a consumer would really like to have as much documentation as possible! NONE of the serializers support the enforcement of xs:restriction so you can forget about the xs:minLength, xs:maxLength, or xs:pattern enforcement. Microsoft... please, please, please, please look at putting the work into your serializers so that they support the very basics of designing enterprise data contracts!!

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  • 11??OTN????????

    - by OTN-J Master
    11??OTN???????????????????????????????????????????????????????????????????????????????????????URL?????????????????https://blogs.oracle.com/otnjp/category/Event ????????????? [11/14(?)??]  WebLogic Server??????????? & ???????????????? [11/21(?)??] Oracle Database Appliance ???????? [11/22(?)??] ?30? WebLogic Server???? 11?20?????DBA & Developer Day 2012?????????????????????????????????OTN???????????????????????????????????????????????????OTN???????????????????????????????>>??????????????????(oracle.com???)??????????????? [11/ 9(?)??]  JavaOne 2012 San Francisco ???  (??Java????????) [11/10(?)??] JJUG ???????????????? 2012 Fall (??Java????????)[11/28(?)??] 90?????!Oracle Database??????????????? (????????) JavaOne 2012 San Francisco ??? (??Java????????) ???: 11?9?(?)13:00~19:00???: ??(???·???????) ???: ???2012?9?30???10?4?????????????????JavaOne 2012?????????JavaOne?????????????????????????????????!>> ??????????? ?????? JJUG ???????????????? 2012 Fall (??Java????????)???: 11?10?(?) 10:00~19:15???: ??(??:???????) ???: ??Java??????????????????????????? 2012 Fall(??:JJUG CCC 2012 Fall)?????????Java????????????????????????????????????????????CCC?????????????????????????????????????????????! >>??·???????? ?????? ?93? ????! ???????? -WebLogic Server??????????? & ???????????????? ???: 11?14?(?)18:30 ~20:30???: ??(?????? ????????????) ???: 18?????????????????????! ????????????????????????????!???????????WebLogic Server ??????????????????Java???????????????WebLogic Server?JRockit????????????????????????????????????????????????????????????????????????????????WebLogic Server????????????????????????????????2???????????????WebLogic Server???????????????????????????????????????JDBC?????????????WebLogic Server??????????????????????????????????????????????????????????????????????????????????????????????????????????????????iPad??????????????????????????????????WebLogic Server???Oracle JDeveloper????? ?Oracle Application Development Framework (ADF)????????? ?WebCenter Framework ????????????????????????????????????????????????????????????????????Java EE??????WebLogic Server?????????????????????????????????????????????????????????????????????????????????????????????????????Java EE6???????????? >> ??·???????? ??????  Oracle Database Appliance ???????? ???: 11?21?(?)15:30 ~ 17:00???: ??(?????????? ?? 13F???????) ???:??????????????????????????????????·?????Oracle Database Appliance??????????????????????????????????????????????????????????????????·?????Oracle Database Appliance ?????????????????????? >>??????????? ?????? ?30? WebLogic Server??? ???: 11?22?(?)18:30~20:40???: ??(????????????) ???:?????WebLogic Server?????:??????JSF2.0????2???????????????WebLogic Server????????????????2?????????????????????·???????????????????? WebLogic Server???????????????????????????????WebLogic Server????????????????TIPS?????????WebLogic Server???????????????????????????JSF2.0???????Java EE 6?????JSF2.0???????????????JSF2.0????????????????JSF2.0????????RIA(??????????????????)????????????????JSF2.0??????Java EE 6?????????Web???????????????????????????????????????????????????WebLogic Server????????????????????????????????????WebLogic Server????????????WebLogic Server?????????????????????????????????????!>>??????????? ?????? 90?????!Oracle Database??????????????? [????????] ???: 11?28?(?) 19:00~20:30???: ??(??????????) ???:Oracle Database????????·?????????????????????Oracle Database??????/????????????????- ???????????????????????????????????? ?????- ???????????????????Oracle Database???????? ?????????????¦???????????¦???????????¦???????????(NetCA, Net Manager)¦???????¦Oracle?????????¦??????????????>> ??·???????? ??????

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  • Fulltext search for django : Mysql not so bad ? (vs sphinx, xapian)

    - by Eric
    I am studying fulltext search engines for django. It must be simple to install, fast indexing, fast index update, not blocking while indexing, fast search. After reading many web pages, I put in short list : Mysql MYISAM fulltext, djapian/python-xapian, and django-sphinx I did not choose lucene because it seems complex, nor haystack as it has less features than djapian/django-sphinx (like fields weighting). Then I made some benchmarks, to do so, I collected many free books on the net to generate a database table with 1 485 000 records (id,title,body), each record is about 600 bytes long. From the database, I also generated a list of 100 000 existing words and shuffled them to create a search list. For the tests, I made 2 runs on my laptop (4Go RAM, Dual core 2.0Ghz): the first one, just after a server reboot to clear all caches, the second is done juste after in order to test how good are cached results. Here are the "home made" benchmark results : 1485000 records with Title (150 bytes) and body (450 bytes) Mysql 5.0.75/Ubuntu 9.04 Fulltext : ========================================================================== Full indexing : 7m14.146s 1 thread, 1000 searchs with single word randomly taken from database : First run : 0:01:11.553524 next run : 0:00:00.168508 Mysql 5.5.4 m3/Ubuntu 9.04 Fulltext : ========================================================================== Full indexing : 6m08.154s 1 thread, 1000 searchs with single word randomly taken from database : First run : 0:01:11.553524 next run : 0:00:00.168508 1 thread, 100000 searchs with single word randomly taken from database : First run : 9m09s next run : 5m38s 1 thread, 10000 random strings (random strings should not be found in database) : just after the 100000 search test : 0:00:15.007353 1 thread, boolean search : 1000 x (+word1 +word2) First run : 0:00:21.205404 next run : 0:00:00.145098 Djapian Fulltext : ========================================================================== Full indexing : 84m7.601s 1 thread, 1000 searchs with single word randomly taken from database with prefetch : First run : 0:02:28.085680 next run : 0:00:14.300236 python-xapian Fulltext : ========================================================================== 1 thread, 1000 searchs with single word randomly taken from database : First run : 0:01:26.402084 next run : 0:00:00.695092 django-sphinx Fulltext : ========================================================================== Full indexing : 1m25.957s 1 thread, 1000 searchs with single word randomly taken from database : First run : 0:01:30.073001 next run : 0:00:05.203294 1 thread, 100000 searchs with single word randomly taken from database : First run : 12m48s next run : 9m45s 1 thread, 10000 random strings (random strings should not be found in database) : just after the 100000 search test : 0:00:23.535319 1 thread, boolean search : 1000 x (word1 word2) First run : 0:00:20.856486 next run : 0:00:03.005416 As you can see, Mysql is not so bad at all for fulltext search. In addition, its query cache is very efficient. Mysql seems to me a good choice as there is nothing to install (I need just to write a small script to synchronize an Innodb production table to a MyISAM search table) and as I do not really need advanced search feature like stemming etc... Here is the question : What do you think about Mysql fulltext search engine vs sphinx and xapian ?

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  • How fast is Berkeley DB SQL compared to SQLite?

    - by dan04
    Oracle recently released a Berkeley DB back-end to SQLite. I happen to have a hundreds-of-megabytes SQLite database that could very well benefit from "improved performance, concurrency, scalability, and reliability", but Oracle's site appears to lack any measurements of the improvements. Has anyone here done some benchmarking?

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  • How can I execute an insert with data from a repeater-generated form whose data source is SQL?

    - by Duke
    I'm storing multilingual data in a database whose model is language normalized (like this). For this particular problem the key for the table in question consists of a value entered by the user and a language from the language table. I'd like to dynamically generate a form with input fields for all available languages. The user inputs a key value then goes down a list of field sets filling out the information in each language. In this case there are two fields for every language, a name and a value (the value is language dependent.) I have all existing information displayed on the page with a gridview, below which I have a formview that is always in insert mode allowing the user to enter new data. Within the formview I have a repeater with an SQLDataSource that gets a list of available languages: <asp:Repeater ID="SessionLocaleRepeater" runat="server" DataSourceID="LocaleSQLDataSource" EnableViewState="false"> <ItemTemplate> <tr> <th scope="row"><%# DataBinder.Eval(Container.DataItem, "LocaleName") %></th> <td>Name:</td> <td><asp:TextBox ID="TextBox1" runat="server" Text="" /></td> <td>Number:</td> <td><asp:TextBox ID="TextBox2" runat="server" Text="" /></td> </tr> </ItemTemplate> </asp:Repeater> I figured that in order to insert this data I'd have to execute my sql server insert stored procedure for each item in the repeater; I am trying to use the formview inserting event. The problem is that the repeater isn't databound to the SQLDataSource until after the formview inserting event (inserting event is in PostBackEvent and databind is in PreRender), which means the controls and data are not available when the inserting event is fired. I tried databinding the repeater during the formview inserting event; the controls were available but the data was not. Would this have something to do with how/when the viewstate information is re-added to the controls? From what I've read, Viewstate is one of the first things to be restored. Given the order of events how can I get the data I need for the insert? I'm open to other solutions to creating dynamic input controls, but they will have to query the database to determine how many sets of controls to create.

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  • Delete duplicate rows, do not preserve one row

    - by Radley
    I need a query that goes through each entry in a database, checks if a single value is duplicated elsewhere in the database, and if it is - deletes both entries (or all, if more than two). Problem is the entries are URLs, up to 255 characters, with no way of identifying the row. Some existing answers on Stackoverflow do not work for me due to performance limitations, or they use uniqueid which obviously won't work when dealing with a string. Long Version: I have two databases containing URLs (and only URLs). One database has around 3,000 urls and the other around 1,000. However, a large majority of the 1,000 urls were taken from the 3,000 url database. I need to merge the 1,000 into the 3,000 as new entries only. For this, I made a third database with combined URLs from both tables, about 4,000 entries. I need to find all duplicate entries in this database and delete them (Both of them, without leaving either). I have followed the query of a few examples on this site, but whenever I try to delete both entries it ends up deleting all the entries, or giving sql errors. Alternatively: I have two databases, each containing the separate database. I need to check each row from one database against the other to find any that aren't duplicates, and then add those to a third database. Edit: I've got my own PHP solution which is pretty hacky, but works. I cannot answer my own question for 8 hours because I'm new, so here it is for now: I went with a PHP script to accomplish this, as I'm more familiar with PHP than MySQL. This generates a simple list of urls that only exist in the target database, but not both. If you have more than 7,000 entries to parse this may take awhile, and you will need to copy/paste the results into a text file or expand the script to store them back into a database. I'm just doing it manually to save time. Note: Uses MeekroDB <pre> <?php require('meekrodb.2.1.class.php'); DB::$user = 'root'; DB::$password = ''; DB::$dbName = 'testdb'; $all = DB::query('SELECT * FROM old_urls LIMIT 7000'); foreach($all as $row) { $test = DB::query('SELECT url FROM new_urls WHERE url=%s', $row['url']); if (!is_array($test)) { echo $row['url'] . "\n"; }else{ if (count($test) == 0) { echo $row['url'] . "\n"; } } } ?> </pre>

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  • Which is the best sql schema comparison tool for Oracle?

    - by mike g
    It should be a tool to enable versioning of a database schema and efficiently updating databases with older versions of the schema: robustness, does it handle all edge cases support for data migration command line execution flexibility, can some data be compared as well In the answers a breakdown on support for these points (and anything I may have missed) would be appreciated.

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  • Lotus Domino - DAOS not reducing file size?

    - by SydxPages
    I have implemented DAOS on a Lotus Domino Server (8.5.3 FP2) as follows: Lotus Domino Server Document: Store file attachments in DAOS: Enabled Minimum size of object before Domino will store in DAOS: 64000 bytes DAOS base path: E:\DAOS Defer object deletion for: 30 days Transaction logging is running, and the specific test database has the following advanced properties set: Domino Attachment and Object Service (ticked) Use LZ1 compression for atachments Compress Database Design Compress Data I have restarted the server. When I run a compact -c, it compacts the database, but does not reduce the size. I have checked the DB in Windows Explorer (60Gb) and the size is the same pre and post. I have checked the directory (E:\DAOS) and it is 35Gb in size. When I run the command 'Tell DAOSMgr Status tmp\test.nsf', I get the following response. From looking up on the net, I believe ticket count = 0 means that the db is not really DAOS'ed? Admin Process: Searching Administration Requests database DAOSMGR: Status tmptest.nsf started DAOS database status: Database: E:\Lotus\Domino\Data\tmp\test.nsf Database state = Synchronized Last resynchronized: 03/09/2012 02:49:13 PM Ticket count: 0 DAOSMGR: Status tmp\test.nsf completed I have run fixup on the database. When I have tried to run the DAOS estimator it has always crashed. This was a problem with larger databases on earlier versions of domino, but not anymore. Can anyone tell me why the size has not reduced? Am I missing anything?

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  • Oracle: Getting ORA-01195 and ORA-01110 when attempting resetlogs

    - by MacAnthony
    I am trying to get our database to startup. When I login to sqlplus and do a startup, I get the message: Total System Global Area 534462464 bytes Fixed Size 2215064 bytes Variable Size 331350888 bytes Database Buffers 192937984 bytes Redo Buffers 7958528 bytes Database mounted. ORA-01589: must use RESETLOGS or NORESETLOGS option for database open So I do a shutdown, startup mount (which works fine) and then run: SQL> alter database recover using backup controlfile until cancel; alter database recover using backup controlfile until cancel * ERROR at line 1: ORA-00283: recovery session canceled due to errors ORA-19909: datafile 1 belongs to an orphan incarnation ORA-01110: data file 1: '/<path>/system01.dbf' SQL> alter database open resetlogs; alter database open resetlogs * ERROR at line 1: ORA-01195: online backup of file 1 needs more recovery to be consistent ORA-01110: data file 1: '/<path>/system01.dbf' I know I've used instructions to get me past this error before, but I seem to be having trouble tracking it down. A bit of history: We wanted to refresh the data in this from another db so we attempted to do a expdb/impdb into this instance. The impdb did not complete correctly and got an end of file error message in it and hung (I still have the message in a log if it's important). Since the instance would start at this point, we decided to use the hotbackup process we have to restore the db. The hotbackups are from another server/instance. We went through the same process 2 weeks ago. At the point of recreating the control file is where we got to the issue above.

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  • Django: making raw SQL query, passing multiple/repeated params?

    - by AP257
    Hopefully this should be a fairly straightforward question, I just don't know enough about Python and Django to answer it. I've got a raw SQL query in Django that takes six different parameters, the first two of which (centreLat and centreLng) are each repeated: query = "SELECT units, (SQRT(((lat-%s)*(lat-%s)) + ((lng-%s)*(lng-%s)))) AS distance FROM places WHERE lat<%s AND lat>%s AND lon<%s AND lon>%s ORDER BY distance;" params = [centreLat,centreLng,swLat,neLat,swLng,neLng] places = Place.objects.raw(query, params) How do I structure the params object and the query string so they know which parameters to repeat and where?

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  • T-Sql Modify Insert SProc To Update If Exists.

    - by Goober
    Scenario I have a stored procedure written in T-Sql that I use to insert data into a table as XML. Since the data gets updated regularly, I want the rows to be updated if they already exist (Aside from when the application is first run, they will always exist). Question Below is the code of my Insert Sproc, however I cannot seem to workout the Update side of the stored procedure & would appreciate some help. CODE set ANSI_NULLS ON set QUOTED_IDENTIFIER ON go ALTER PROCEDURE [dbo].[INS_Curve] ( @Curve varchar(MAX) ) AS DECLARE @handle int exec sp_xml_preparedocument @handle OUTPUT, @Curve INSERT INTO CurveDB..tblCurve(LoadID,BusinessDate, Factor) SELECT LoadID,BusinessDate, Factor FROM OPENXML(@handle, 'NewDataSet/Table1',2) WITH( LoadID int, BusinessDate DateTime, Factor float ) exec sp_xml_removedocument @handle

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  • How to capture input parameters from within stored procedure (SQL Server 2005)?

    - by Duncan
    I would like to create a generic logging solution for my stored procedures, allowing me to log the values of input parameters. Currently I am doing this more or less by hand and I am very unhappy with this approach. Ideally, I would like to say something like the following: "given my spid, what are my input parameters and their values?" This is the same information exposed to me when I run SQL Profiler -- the stored procedure's name, all input params and all input VALUES are listed for me. How can I get my hands on these values from within a stored procedure? Thanks; Duncan

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  • Mysql Syntax :You have an error in your SQL syntax....

    - by jasmine
    I have written very very very!!! simple function: function editCategory() { $ID = urlencode($_GET['id']); $cname = mysql_fix_string($_POST['cname']); $kabst = mysql_fix_string($_POST['kabst']); $kselect = $_POST['kselect']; $subsl = $_POST['subsl']; $kradio = $_POST['kradio']; $ksubmit = $_POST['ksubmit']; if (isset($ksubmit)) { $query = "UPDATE category SET name = '$cname', description = '$kabst', published = '$kselect', home = '$kradio', subcat = '$subsl' WHERE id = $ID "; $result = mysql_query($query); if (mysql_affected_rows () == 1) { echo "ok"; } else{ echo mysql_error(); } } } error: You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near '' at line 1 what is wrong? :(

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  • bi-directional o2m/m2o beats uni-directional o2m in SQL efficiency?

    - by Henry
    Use these 2 persistent CFCs for example: // Cat.cfc component persistent="true" { property name="id" fieldtype="id" generator="native"; property name="name"; } // Owner.cfc component persistent="true" { property name="id" fieldtype="id" generator="native"; property name="cats" type="array" fieldtype="one-to-many" cfc="cat" cascade="all"; } When one-to-many (unidirectional) Note: inverse=true on unidirectional will yield undesired result: insert into cat (name) values (?) insert into Owner default values update cat set Owner_id=? where id=? When one-to-many/many-to-one (bi-directional, inverse=true on Owner.cats): insert into Owner default values insert into cat (name, ownerId) values (?, ?) Does that mean setting up bi-directional o2m/m2o relationship is preferred 'cause the SQL for inserting the entities is more efficient?

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  • Does SQL Server Compact Edition (SqlCe) have a SNAPSHOT table like Oracle Lite?

    - by MusiGenesis
    In Oracle Lite, you can create a SNAPSHOT table which is like a normal table except that it tracks changes to itself. The syntax is CREATE SNAPSHOT TABLE tblWhatever ... and you can perform CRUD operations on it like a normal table. To get the change information, you query the table like this: SELECT * FROM tblWhatever + WHERE ... which returns all the rows in the table (including deleted ones) meeting the WHERE clause, and you can access each row's row_state column as a normal field (which is invisible to a normal SELECT * FROM tblWhatever WHERE ... query). Is there some way to do the same thing with Sql Compact Edition (3.5) - i.e. create a table that tracks changes without using RDA?

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  • How to show the elapsed time while a long SQL Query is executed?

    - by Salvador
    i need to show a popup window before the a query execution, show the time elapsed while the sql query is executed , and close that windows when the query ends. actually i do something like this var frm : tFrmPopupElapsed; // this form have a ttimer and a tlabel to show the elapsed time //but the tlabel is not updated, i tried using update; and refresh; but nothing happens //the timer is enabled. begin frm:=tform.create(nil); frm.Init;//this procedure set the timer to enabled:=true try frm.Show(); ExecuteMyVeryLongQuery(); finally frm.Close; end; end; wich is the best way using a ttimer? a Tthread ? thanks in advance.

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